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Autoregressive spectral analysis and model order selection criteria for EEG signals

Palaniappan, Ramaswamy and Raveendran, P. and Nishida, Shogo and Saiwaki, Naoki (2002) Autoregressive spectral analysis and model order selection criteria for EEG signals. In: 2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium. IEEE. ISBN 0-7803-6355-8. (doi:10.1109/TENCON.2000.888403) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/TENCON.2000.888403

Abstract

The advantages of autoregressive (AR) modelling over the classical Fourier Transform methods have been centre staged in the recent years. But a problem with AR method lies with the appropriate model order selection. In this paper, we address this problem by studying the performance of three different types of order selection criteria for AR models to represent electroencephalogram signals. We perform this by extracting EEG signals for different mental tasks and obtaining the appropriate model order given by the different criteria. From this, we derive the spectral density function. Using the spectral values, we train a neural network and classify the tasks into their respective categories. In this way, we show the difference in the performance level of the different model order selection criteria for EEG signals.

Item Type: Book section
DOI/Identification number: 10.1109/TENCON.2000.888403
Additional information: Unmapped bibliographic data: LA - English [Field not mapped to EPrints] J2 - IEEE Reg 10 Annu Int Conf Proc TENCON [Field not mapped to EPrints] AD - Univ of Malaya, Kuala Lumpur, Malaysia [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] A4 - IEEE [Field not mapped to EPrints] C3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON [Field not mapped to EPrints]
Uncontrolled keywords: Regression analysis, Spectrum analysis, Agression analysis, Signal processing
Divisions: Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 10 Dec 2018 18:04 UTC
Last Modified: 01 Aug 2019 10:01 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70772 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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